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Large language models (LLMs) can corrupt document content by up to 25% during long workflows.

AIData IntegrityMay 10, 2026score 0.452 posts · 3 replies across 1 instances
This thread discusses a study showing that large language models (LLMs) can corrupt document content by up to 25% during long workflows, raising concerns about the reliability of delegating document tasks to AI systems.

Claims

Large language models (LLMs) can corrupt document content by up to 25% during long workflows.
Parent: AIEntity: Large Language Models (LLMs)Impact: negativeDate: May 10, 2026Target: The reliability of using LLMs for document tasks

Source posts

@[email protected]
LLMs Corrupt Your Documents When You Delegate: Our large-scale experiment with 19 LLMs reveals that […] even frontier models corrupt an average of 25% of document content by the end of long workflows https://lemmy.ml/post/47100985
1 boosts · 0 favs · 2 replies · May 10, 2026
#artificial_intel
@[email protected]
LLMs Corrupt Your Documents When You Delegate: Our large-scale experiment with 19 LLMs reveals that […] even frontier models corrupt an average of 25% of document content by the end of long workflows https://lemmy.ml/post/47101130
1 boosts · 0 favs · 1 replies · May 10, 2026
#fuck_ai